Most modern dimensionality reduction (t-SNE, UMAP, Isomap) shares a pattern: represent data as a graph capturing local similarity, then embed to preserve that structure. It's graphs all the way down.
alechelbling.comA Visual Introduction to Dimensionality Reduction with Isomap"To deal with hyper-planes in a 14-dimensional space, visualize a 3D space and say 'fourteen' to yourself very loudly. Everyone does it." - Geoffrey Hinton
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